Bibliografia

- Cady, F. (2017) The Data Science Handbook (1st Ed.). Wiley - Mckinney, W. (2017) Python for Data Analysis (2nd Ed.). O'Reilly Media - Albon, C. (2018) Machine Learning with Python Cookbook: Practical solutions from preprocessing to deep learning. O'Reilly Media - Géron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media - Nelson, D. (2020) Data Visualization in Python. Publisher: ‎ Independently - O'Reilly, T. (2010). Open Government: Collaboration, Transparency, and Participation in Practice. O'Reilly Media - OpenCV: Open Source Computer Vision Library. (https://opencv.org/) - TensorFlow: An Open Source Machine Learning Framework for Everyone. (https://www.tensorflow.org/) - Outra dependente dos temas específicos dos projectos práticos dos alunos.:

Provost, F. and Fawcett, T. (2013) Data Science for Business: What you need to know about data mining and data-analytic thinking. O'Reilly Media: